Vimeo is searching for an experienced Python & SQL software engineer for its Core Data Engineering team. This is a chance to create & maintain a robust, scalable, & balanced enterprise data platform with other members of the Core Data Engineering team. The ideal candidate will enjoy working on a variety of projects at once, with lots of different software services & data sources, all orchestrated with Python code.

Our platform has robust analytics tools that can tell video creators where people are from, where they click, & even track where in a video someone stopped watchinggiving you insight into creating engaging content in the future.

While working as a peer to both technical & non-technical staff throughout the company, you will drive the improvement process of both our products & our business operations. You will help define data access & discoverability requirements & work to build infrastructure & services that provide access to event streams.

What you'll do:

• Ensure consistency to coding best practices & development of reusable code
• Monitor data platform & make recommendations to improve system architecture
• Work closely with other data engineers, analysts, & business partners to understand & plan technical requirements for projects
• Provide decision analysis & decision support to business partners using BI & other data
• Learn quickly & deeply about Vimeos software platform, desktop, & mobile applications
• Contribute software designs, code, tooling, testing, & operational support to a multi-terabyte BI data platform
• Collaborative work: iterative development, design, & code review sessions
• Independent work: author & maintain tools for other developers

Skills & knowledge you should possess:

• 3+ years of engineering experience in a fast-paced environment; 2+ years of experience in scalable data architecture, fault-tolerant ETL, & monitoring of data quality in the cloud
• Deep understanding of distributed data processing architecture & tools such as Kafka & Spark
• Solid understanding of design patterns & coding best practices
• Experience with & understanding of data modeling concepts, techniques & best practices
• Experience with Airflow, Celery, or other Python-based task processing systems
• Proficiency in SQL
• Proficiency in Python
• Proficiency with modern source control systems, especially Git
• Experience working with non-technical business stakeholders on technical projects

Bonus Points (Nice Skills to Have, but Not Needed):

• • Cloud-based DevOps: AWS or Google Cloud Platform
  • Relational database design
  • Snowflake, or other distributed columnar-store databases
  • Basic Linux/Unix system administration skills

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